Lama Cleaner

Lama Cleaner

Self-hosted, open-source AI inpainting with unlimited private edits

65/100MonitorFreeFree

IOPaint remains the best free, self-hosted inpainting tool despite the August 2025 archive. If you value privacy, unlimited edits, and control over your images, it delivers—backed by LaMa, PowerPaintV2, AnyText, and a suite of plugins that rival paid cloud tools. Skip it if you prefer zero-install convenience, need collaborative editing, or aren't comfortable with command-line setup.

Verified 4d ago · liveness 65/100 · cite: rightaichoice.com/tools/lama-cleaner

Best for
  • Photographers retouching on a budget
  • Content creators needing quick, private edits
  • Developers integrating inpainting into workflows
  • Hobbyists exploring AI image editing
Not ideal for
  • Users seeking a cloud-based no-install solution
  • Professional studios requiring collaborative editing
  • Teams needing built-in version control or API
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IntermediatePhotographers: 30–60 minutes for a one-time setup, then immediate use for unlimited edits. Developers: 15–30 minutes via pip or Docker, with additional time for model downloads. Non-technical users: 1–2 hours using the Windows 1-Click Installer, but comfortable with command-line tools.Desktop · CLINo public APIVerified 4d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Intermediate
Photographers: 30–60 minutes for a one-time setup, then immediate use for unlimited edits. Developers: 15–30 minutes via pip or Docker, with additional time for model downloads. Non-technical users: 1–2 hours using the Windows 1-Click Installer, but comfortable with command-line tools.
Runs on
DesktopCLI
No public API
Who it's for
PhotographerDeveloper/Data EngineerGraphic Designer
Live sentiment
Is Lama Cleaner actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip IOPaint if you prefer a zero-install cloud service, need collaborative editing with version control, or aren't comfortable with command-line installation and managing local models.

The 30-second take
Biggest gripe

Downloading large AI models can consume significant disk space and bandwidth, especially multiple diffusion models.

Price reality

IOPaint is completely free—no tiers, no usage caps, no subscription—making it the best value if you can self-host. Unlike cloud tools like Adobe Photoshop's Generative Fill (paid) or ClipDrop (credit-based), IOPaint offers unlimited local edits at zero cost, ideal for individual creators, hobbyists, and budget-conscious developers.

In short

Lama Cleaner — Self-hosted, open-source AI inpainting with unlimited private edits. Best for Photographers retouching on a budget, Content creators needing quick, private edits, Developers integrating inpainting into workflows. Free to use.

What people actually say about Lama Cleaner — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

23 mentions across 5 sources (YouTube, Product Hunt, Bluesky, GitHub, Lemmy) · researched Jul 28, 2026.

41% positive59% critical
Recurring strengths
  • +Completely free with no usage limits or subscriptions.
  • +All processing is local; no data ever leaves your machine.
  • +Supports multiple AI models: LaMa, PowerPaint, AnyText, SD inpainting.
  • +Plugins for segmentation, background removal, super-resolution, face restoration.
  • +Simple web UI with brush-based editing.
Recurring frustrations
  • Manual setup requires Python and can be error-prone (GitHub issues).
  • No dedicated support; community is tiny and quiet.
  • Original repository is archived; future uncertain.
  • Web UI is functional but not as polished as commercial tools.
  • GPU recommended for reasonable performance on large images.
Patterns worth knowing
Installation difficulties and Python version confusion
Seen on GitHub
Repository archival causing concern about future maintenance
Seen on GitHub
Appreciation for free, privacy-preserving local inpainting
Seen on Product Hunt, Bluesky
Learning curve
intermediateProductive in ~30 minutes to a few hours depending on experience
Hidden costs people mention
  • Hardware: requires a decent GPU for good performance (or slow CPU processing)
  • Time: manual setup and troubleshooting
  • Electricity: local GPU usage increases power consumption

Viability Score

65/100
Monitor

How well maintained and how widely used is Lama Cleaner? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
41
What the vendor publishes
20

Last calculated: August 2026

How we score →

Key Features

  • Inpainting with LaMa model
  • Object replacement with PowerPaintV2
  • Text drawing with AnyText
  • Outpainting to extend image borders
  • Stable diffusion inpainting models (SDXL, BrushNet, Paint-by-Example)
  • Segment Anything plugin for interactive segmentation
  • RemoveBG plugin for background removal
  • Anime Segmentation plugin for anime images
  • RealESRGAN super resolution plugin
  • GFPGAN face restoration plugin
  • RestoreFormer face restoration plugin
  • FileManager plugin for browsing and saving images
  • Batch processing via command line
  • Web UI with canvas and brush tools
  • Self-hosted execution on CPU, GPU, Apple Silicon

About Lama Cleaner

FreeIntermediateNo APIDesktop · CLI

IOPaint (formerly Lama Cleaner) is a free, open-source, self-hosted inpainting and outpainting tool that runs entirely on your own hardware. It removes unwanted objects, defects, people, watermarks, or text from images, and lets you replace areas with generated content, draw text, or extend image borders—all without sending data to the cloud. This makes it a strong choice for photographers, designers, content creators, and developers who need unlimited edits and value privacy. The tool provides a simple web interface where you brush over areas to erase or regenerate, or use text prompts for replacement. IOPaint supports multiple advanced models: LaMa for erasing, PowerPaintV2 for object replacement and outpainting, AnyText for drawing text, and various stable diffusion inpainting models like SDXL, BrushNet, and Paint-by-Example. Plugins extend functionality: Segment Anything for interactive segmentation, RemoveBG for background removal, Anime Segmentation for anime images, RealESRGAN for super-resolution, GFPGAN and RestoreFormer for face restoration, and a FileManager for browsing and saving images. Batch processing via command line is also supported. IOPaint stands out from cloud services like Adobe Photoshop's Generative Fill or ClipDrop by having no usage limits and keeping images private. The trade-off is self-hosting—installation is via pip, Docker, or a one-click Windows installer, and it runs on CPU, GPU, and Apple Silicon. The repository was archived in August 2025 but remains fully functional, with continued maintenance through associated projects like OptiClean. For users seeking a free, local AI editing tool with many model choices and no recurring costs, IOPaint is a compelling option.

Behind the Verdict

IOPaint (formerly Lama Cleaner) is a rarity in the AI image editing space: a fully open-source, self-hosted tool that gives you unlimited edits without sending your images to a cloud server. Since it's free and runs locally, you can retouch photos, remove watermarks, or generate content as often as you like without hitting usage caps or worrying about privacy. The tool's web UI is straightforward—you brush over an area of an image, choose an erase or replace action, and the model fills in the gap. Under the hood it supports a range of state-of-the-art models: LaMa for clean object removal, PowerPaintV2 for object replacement and outpainting, AnyText for drawing text, and several stable diffusion inpainting models (SDXL, BrushNet, Paint-by-Example). This breadth means you can handle everything from simple blemish removal to creative regeneration. Plugins like Segment Anything, RemoveBG, RealESRGAN, and GFPGAN add segmentation, background removal, upscaling, and face restoration capabilities. You can also run batch jobs via command line or integrate it into larger pipelines with its Python API. The main constraint is technical: installation requires pip, Docker, or a Windows installer, and performance benefits significantly from a GPU. The GitHub repository was archived on August 13, 2025, making it read-only, but the tool remains functional and is actively supported through related projects like OptiClean. For privacy-conscious photographers, hobbyists, and developers, IOPaint is an exceptional value. But if you want a cloud-based, no-install solution or need collaboration features like shared libraries or version control, you're better off with paid tools like Adobe Photoshop or ClipDrop.

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Real-world workflow fit

Concrete scenarios for the personas Lama Cleaner actually fits — and what changes day-one when you adopt it.

Photographer

You have a batch of wedding photos with unwanted photobombers or stray objects, and you need to clean them up without waiting for cloud processing or paying per image.

Outcome: Install IOPaint with the LaMa model, enable batch processing, and run a command-line script to remove unwanted elements from all images at once—saving hours and keeping the photos private on your local machine.

Developer/Data Engineer

You need to automate removal of watermarks from a dataset of product images for training a computer vision model, and the images must not leave your infrastructure.

Outcome: Deploy IOPaint in a Docker container on your server, start the service with the LaMa model, and use its command-line interface or Python API to batch-process images—ensuring data never leaves your environment.

Graphic Designer

You need to replace a background element in a product shot with a generated replacement, but you want the flexibility to choose among multiple AI models without cloud credit limits.

Outcome: Launch IOPaint's web UI, load the image, select PowerPaintV2 or a stable diffusion inpainting model, and use text prompts to regenerate the area—getting professional results with unlimited iterations at no cost.

Use Cases

Models Under the Hood

LaMaPowerPaintV2AnyTextrunwayml/stable-diffusion-inpaintingdiffusers/stable-diffusion-xl-1.0-inpainting-0.1andregn/Realistic_Vision_V3.0-inpaintingLykon/dreamshaper-8-inpaintingSanster/anything-4.0-inpaintingBrushNetFantasy-Studio/Paint-by-Example

as of 2026-08-17

Limitations

  • The tool is self-hosted and requires local installation, with optimal performance dependent on having a GPU.
  • The GitHub repository was archived on August 13, 2025, making it read-only, though the tool remains functional.
  • Setup may be complex for non-technical users.

as of 2026-08-19

Verification history

We have re-verified Lama Cleaner 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-checked, vendor evidence unchanged
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Lama Cleaner tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Solo creators, photographers, and developers who want unlimited, private AI image editing without recurring costs and are willing to self-host on their own hardware.

What this tier adds

Starting tier—fully open-source, self-hosted, with all models and plugins included at no cost.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Downloading large AI models can consume significant disk space and bandwidth, especially multiple diffusion models.
  • Running on CPU instead of GPU results in slow processing times, potentially discouraging use on budget hardware.
  • The archived repository means no official bug fixes or feature updates—you may need to rely on community forks or workarounds.
  • Docker or pip installation requires technical expertise and may involve troubleshooting platform-specific issues.

Where the pricing makes sense

The company stage and team size where Lama Cleaner's pricing actually pencils out — and where peers do it cheaper.

IOPaint is completely free—no tiers, no usage caps, no subscription—making it the best value if you can self-host. Unlike cloud tools like Adobe Photoshop's Generative Fill (paid) or ClipDrop (credit-based), IOPaint offers unlimited local edits at zero cost, ideal for individual creators, hobbyists, and budget-conscious developers.

Setup time & first value

How long it actually takes to get something useful out of Lama Cleaner — broken out by persona, not the marketing-page minute.

Photographers: 30–60 minutes for a one-time setup, then immediate use for unlimited edits. Developers: 15–30 minutes via pip or Docker, with additional time for model downloads. Non-technical users: 1–2 hours using the Windows 1-Click Installer, but comfortable with command-line tools.

Switching to or from Lama Cleaner

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Adobe Photoshop: Export your images, install IOPaint via the Windows installer or pip, and import your files to begin removing objects locally without subscription costs.
  • From ClipDrop or other credit-based services: Install IOPaint self-hosted and batch-process your pending edits—no more credit limits or uploads.
Migrating out
  • To Adobe Photoshop: If you need collaborative features, cloud sync, or professional output, export images and use Photoshop's Generative Fill for cloud-based workflows.

Resources & Guides

Tutorials & Learning

Tools that pair well with Lama Cleaner

Common stack mates teams adopt alongside Lama Cleaner, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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